UMBC ebiquity

Rules for the Implicit Acquisition of Knowledge About the User

Authors: Robert Kass, and Tim Finin

Book Title: Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87)

Date: July 13, 1987

Abstract: A major problem with incorporating a user model into an application has been the difficulty of acquiring the in- formation for the user model. To make the user model effective, past approaches have relied heavily upon the explicit encoding of a large amount of information about potential system users. This paper discusses techniques for acquiring knowledge about the user implicirly (as the interaction with the user proceeds) in interactions between users and cooperative advisory systems. These techniques were obtained by analyzing transcripts of a large number of interactions between advice-seekers and a human expert, and have been encoded as a set of user model acquisition rules. Furthermore, the rules are domain independent, sup- porting the feasibility of building a general user modelling module.

Type: InProceedings

Publisher: AAAI Press

Google Scholar: search

Number of downloads: 529


Available for download as

size: 990447 bytes